SOTAVerified

Domain Adaptation

Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.

Further readings:

( Image credit: Unsupervised Image-to-Image Translation Networks )

Papers

Showing 33513400 of 6439 papers

TitleStatusHype
Supervised Distributional Hypernym Discovery via Domain Adaptation0
Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images0
Supervised Virtual-to-Real Domain Adaptation for Object Detection Task using YOLO0
Support and Invertibility in Domain-Invariant Representations0
Supporting Automated Fact-checking across Topics: Similarity-driven Gradual Topic Learning for Claim Detection0
Surface EMG-Based Inter-Session/Inter-Subject Gesture Recognition by Leveraging Lightweight All-ConvNet and Transfer Learning0
Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge0
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving0
Sustaining model performance for covid-19 detection from dynamic audio data: Development and evaluation of a comprehensive drift-adaptive framework0
SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values0
SWAT: Sliding Window Adversarial Training for Gradual Domain Adaptation0
Symmetric Positive Semi-definite Riemannian Geometry with Application to Domain Adaptation0
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-based Approach Integrating Maximum Mean Discrepancy and Optimal Transport0
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation0
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition0
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation0
SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation0
Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction0
Syntactic Parsing of Web Queries with Question Intent0
Syntax-based Transfer Learning for the Task of Biomedical Relation Extraction0
Syntax-Guided Domain Adaptation for Aspect-based Sentiment Analysis0
Synthesizing Training Images for Boosting Human 3D Pose Estimation0
Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking0
Synthetic Data for Deep Learning0
Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation0
Synthetic Question Value Estimation for Domain Adaptation of Question Answering0
Synthetic to Real Adaptation with Generative Correlation Alignment Networks0
Synthetic-to-real Composite Semantic Segmentation in Additive Manufacturing0
Synthetic-to-Real Domain Adaptation for Lane Detection0
Synthetic-to-Real Domain Adaptation using Contrastive Unpaired Translation0
Synthetic to Real Framework based on Convolutional Multi-Head Attention and Hybrid Domain Alignment0
Synthetic training data generation for deep learning based quality inspection0
SynthMix: Mixing up Aligned Synthesis for Medical Cross-Modality Domain Adaptation0
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation0
Tackling Partial Domain Adaptation with Self-Supervision0
Tackling Sequence to Sequence Mapping Problems with Neural Networks0
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images0
TA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification (Student Abstract)0
TADPOLE: Task ADapted Pre-Training via AnOmaLy DEtection0
Tagging Opinion Phrases and their Targets in User Generated Textual Reviews0
Tagging Performance Correlates with Author Age0
Tagging The Web: Building A Robust Web Tagger with Neural Network0
Tag-less Back-Translation0
Taking it further: leveraging pseudo labels for field delineation across label-scarce smallholder regions0
Target-agnostic Source-free Domain Adaptation for Regression Tasks0
Target-centered Subject Transfer Framework for EEG Data Augmentation0
Target Consistency for Domain Adaptation: when Robustness meets Transferability0
Target Domain Data induces Negative Transfer in Mixed Domain Training with Disjoint Classes0
Target-driven One-Shot Unsupervised Domain Adaptation0
Targeted Attention for Generalized- and Zero-Shot Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FFTATAverage Accuracy96Unverified
2PMTransAverage Accuracy95.3Unverified
3CMKDAverage Accuracy94.4Unverified
4SSRT-B (ours)Average Accuracy93.5Unverified
5CDTransAverage Accuracy92.6Unverified
6CoViAverage Accuracy91.8Unverified
7GSDEAverage Accuracy91.7Unverified
8FixBiAverage Accuracy91.4Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6Unverified
10BIWAAAverage Accuracy90.5Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1Unverified
2ILM-ASSLmIoU76.6Unverified
3DCFmIoU69.3Unverified
4HRDA+PiPamIoU68.2Unverified
5MICmIoU67.3Unverified
6FREDOM - TransformermIoU67Unverified
7HRDAmIoU65.8Unverified
8SePiComIoU64.3Unverified
9MIC + Guidance TrainingmIoU63.8Unverified
10DAFormer + ProCSTmIoU61.6Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8Unverified
2DCFmIoU77.7Unverified
3ILM-ASSLmIoU76.1Unverified
4MICmIoU75.9Unverified
5HRDA+PiPamIoU75.6Unverified
6HRDAmIoU73.8Unverified
7FREDOM - TransformermIoU73.6Unverified
8HALOmIoU73.3Unverified
9SePiComIoU70.3Unverified
10DAFormer + ProCSTmIoU69.4Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3Unverified
2RCLAccuracy90Unverified
3PGA (ViT-L/14)Accuracy89.4Unverified
4PMTransAccuracy89Unverified
5CMKDAccuracy89Unverified
6MICAccuracy86.2Unverified
7PGA (ViT-B/16)Accuracy85.1Unverified
8ELSAccuracy84.6Unverified
9SDAT (ViT-B/16)Accuracy84.3Unverified
10CDTrans (DeiT-B)Accuracy80.5Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8Unverified
2RCLAccuracy93.2Unverified
3MICAccuracy92.8Unverified
4SWGAccuracy92.7Unverified
5CMKDAccuracy91.8Unverified
6DePTAccuracy90.7Unverified
7SDAT(ViT)Accuracy89.8Unverified
8SFDA2++Accuracy89.6Unverified
9PMtransAccuracy88.8Unverified
10CoViAccuracy88.5Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3Unverified
2MCC+NWDAccuracy90.7Unverified
3GLOT-DRAccuracy90.4Unverified
4SPLAccuracy90.3Unverified
5DFA-SAFNAccuracy90.2Unverified
6DADAAccuracy89.3Unverified
7DFA-ENTAccuracy89.1Unverified
8MEDMAccuracy88.9Unverified
9DDAAccuracy88.9Unverified
10IAFN+ENTAccuracy88.9Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8Unverified
2ReinmIoU77.6Unverified
3CoDAmIoU72.6Unverified
4Refign (HRDA)mIoU72.1Unverified
5HALOmIoU71.9Unverified
6MICmIoU70.4Unverified
7HRDAmIoU68Unverified
8Refign (DAFormer)mIoU65.5Unverified
9VBLC (DAFormer)mIoU64.2Unverified
10CMFormermIoU60.1Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8Unverified
2FAMCDAccuracy98.72Unverified
3DFA-MCDAccuracy98.6Unverified
4Mean teacherAccuracy98.26Unverified
5DRANetAccuracy98.2Unverified
6SHOTAccuracy98Unverified
7DFA-ENTAccuracy97.9Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1Unverified